Data Engineer- AWS at IQbusiness

• We are seeking a talented AWS Cloud Data Engineer to join our dynamic team. As a Cloud Data Engineer, you will play a crucial role in creating scalable and secure data solutions for our clients. To be successful in this role, it is necessary to have a deep understanding of how to store, process, and analyze massive amounts of data, as well as expertise in utilizing cloud-based infrastructure
• We strongly believe in and adhere to Agile software development and DevOps best practices and principles, and we are looking for someone who shares our enthusiasm. IQbusiness promotes a strong learning, mentoring, and knowledge-sharing culture. In this role, you will build high-quality, innovative, and fully performing data solutions in compliance with best practices, standards, current technology stack, and technical design.

Basic Qualifications

• Relevant Bachelor’ Degree / Diploma / recognized qualification from an accredited tertiary institution
• At least 2 years of Consulting or client service delivery experience on Amazon AWS (AWS)
• At least 3- 5 years of experience in developing data ingestion, data processing, data engineering, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
• Experience with public cloud architectures, pros/cons, and migration considerations
• Hands-on experience in AWS and Big Data technologies such as AWS EC2, AWS S3, AWS Lambda, Spark/SparkSQL, and streaming technologies such as Apache Kafka, AWS Kinesis, Apache NiFI, etc.
• 3+ years of hands-on experience in programming languages such as Java, C#, Node.js, Python, PySpark, SQL, Unix shell/Perl scripting, etc.
• Experience working with DevOps tools such as GitHub, GitLab, Jenkins, CodeBuild, CodePipeline, CodeDeploy, etc.

Ideally, have one or more of the following AWS certifications:

• Certified AWS Developer - Associate
• Certified AWS DevOps – Professional
• Certified AWS Data Analytics Specialty

Methodologies and Frameworks:

• Data Integration (ETL and ELT)
• Enterprise Data Warehousing and Enterprise Data Lake
• Data Management 
• Data Visualisation and Presentation

Soft Skills

• Great communication skills
• Strong knowledge of the financial services industry, ideally in a consulting role
• Ability to work in different project methodologies: Waterfall and/or Agile

Closing Date 31 May 2023